Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, implement, and manage large-scale GCP infrastructure using IaC (Terraform), containerization (Kubernetes/Docker), monitoring, security, and DR. Mentor junior engineers, optimize performance and costs, and document practices.

Design, develop, and secure blockchain solutions including smart contracts and DApps. Collaborate with teams to integrate, optimize performance, audit security, document projects, and provide technical support and training.

Lead reverse-engineering of TIBCO BW/MFT processes, document business rules, and reimplement them as modular Java/Spring Boot microservices. Migrate protocols to Kafka/RabbitMQ/REST, ensure data consistency, and perform performance testing to match legacy SLAs.

Design and build backend solutions following architecture and best practices. Develop APIs, web services, database schemas, PL/SQL/stored procedures (DB2/Oracle). Collaborate with senior engineers, participate in code reviews, testing, and coordinate technical delivery across teams. Support CI/CD and improve code quality.

Build high-performance, real-time Angular UIs for AI-driven agent workflows. Implement SSE/WebSocket streaming, complex state management (Signals/NgRx), observability dashboards, HITL controls, performance optimizations, and collaborate on API/JSON schema design with backend and AI engineers.

Design and prototype innovative UX/UI concepts during early-stage product discovery. Collaborate with researchers, creative leads, and product teams to create wireframes, mockups, and interactive prototypes, validate concepts through testing, and present visual narratives and design rationale to stakeholders while maintaining usability and accessibility.

Design, build, and scale production Generative AI applications: multi-agent systems, advanced RAG pipelines, LLM integration and fine-tuning, scalable FastAPI backends, vector search, monitoring, and Dockerized deployments.

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.

Design, build, and maintain operational and analytical data platform capabilities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. Deliver end-to-end development, production rollout, and support; improve financial product data quality, modeling, and SQL performance; collaborate with business partners and squads.

Own the AI use-case backlog and prioritize agent-assist scale-out. Translate business intent into Epics, Features, and User Stories with explicit acceptance criteria in Azure DevOps. Run sprint planning, refinement, reviews, and demos on a fast-paced AI-infused agile cadence. Leverage AI tooling to draft requirements, generate stories, and author acceptance criteria. Coordinate with stakeholders and transformation advisors to meet call reduction, AHT, and deflection targets.